Pinned Repositories
algorithms-review
This repository are reviews of several algorithms
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
BERT-pytorch
BERT 源码阅读
Bow-to-Bert
Evolution of word vectors from long, sparse, and 1-hot to short, dense, and context sensitive
Coding_practice
coursera_deep_learning_hmwk
Homework solutions for Andrew Ng's Deep Learning course.
Kaggle-Bosch-Production-Line-Performance
learn_spark_on_databricks
learn spark on databricks
mapreduce-tutorial
Homework and projects from INLS626 Bigdata and NoSQL class
NMT
Neural Machine Translation with attention in both encoder and decoder
brucebismarck's Repositories
brucebismarck/coursera_deep_learning_hmwk
Homework solutions for Andrew Ng's Deep Learning course.
brucebismarck/learn_spark_on_databricks
learn spark on databricks
brucebismarck/mapreduce-tutorial
Homework and projects from INLS626 Bigdata and NoSQL class
brucebismarck/NMT
Neural Machine Translation with attention in both encoder and decoder
brucebismarck/BERT-pytorch
BERT 源码阅读
brucebismarck/Bow-to-Bert
Evolution of word vectors from long, sparse, and 1-hot to short, dense, and context sensitive
brucebismarck/Kaggle-Bosch-Production-Line-Performance
brucebismarck/algorithms-review
This repository are reviews of several algorithms
brucebismarck/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
brucebismarck/Coding_practice
brucebismarck/Deep_Learning_Homework
This repository contains homework from Jojic's class and Mohit's class
brucebismarck/Experiment
brucebismarck/Golang_exercise
repo for golang exercises
brucebismarck/learn_stanford_tf
In this repo, I uploaded all assignments and exercises for further using.
brucebismarck/leetcode_python
Try to learn python via leetcode
brucebismarck/pandas_redshift
Load data from redshift into a pandas DataFrame and vice versa.
brucebismarck/pysurvival
Open source package for Survival Analysis modeling
brucebismarck/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
brucebismarck/STOR_765_project
This repository is used for my STOR 765 Statistical consulting project. The topic of this project is linguistic phoneme clustering.
brucebismarck/transfer_learning_kaggle_furniture
kaggle furniture transfer learning task